Simon Gregersen Echers

768 total citations
32 papers, 504 citations indexed

About

Simon Gregersen Echers is a scholar working on Molecular Biology, Food Science and Animal Science and Zoology. According to data from OpenAlex, Simon Gregersen Echers has authored 32 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 14 papers in Food Science and 11 papers in Animal Science and Zoology. Recurrent topics in Simon Gregersen Echers's work include Protein Hydrolysis and Bioactive Peptides (19 papers), Proteins in Food Systems (12 papers) and Meat and Animal Product Quality (11 papers). Simon Gregersen Echers is often cited by papers focused on Protein Hydrolysis and Bioactive Peptides (19 papers), Proteins in Food Systems (12 papers) and Meat and Animal Product Quality (11 papers). Simon Gregersen Echers collaborates with scholars based in Denmark, Spain and Norway. Simon Gregersen Echers's co-authors include Charlotte Jacobsen, Michael T. Overgaard, Egon Bech Hansen, Paolo Marcatili, Pedro J. García‐Moreno, Tobias Hegelund Olsen, Betül Yeşiltaş, Ann‐Dorit Moltke Sørensen, Mogens L. Andersen and Ali Jafarpour and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Scientific Reports.

In The Last Decade

Simon Gregersen Echers

30 papers receiving 493 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Simon Gregersen Echers Denmark 12 340 251 135 80 44 32 504
Xiaoguo Ying China 13 205 0.6× 101 0.4× 115 0.9× 49 0.6× 33 0.8× 34 436
Swen Rabe Germany 14 269 0.8× 238 0.9× 140 1.0× 19 0.2× 50 1.1× 18 546
Dahai Gu China 11 134 0.4× 88 0.4× 154 1.1× 39 0.5× 24 0.5× 22 407
R. Venkateswarlu India 5 225 0.7× 86 0.3× 131 1.0× 28 0.3× 22 0.5× 8 361
Guadalupe Miroslava Suárez-Jiménez Mexico 12 260 0.8× 130 0.5× 120 0.9× 86 1.1× 54 1.2× 30 510
D.M.S. Munasinghe Sri Lanka 10 62 0.2× 84 0.3× 132 1.0× 95 1.2× 17 0.4× 21 374
Fang Geng China 18 216 0.6× 462 1.8× 305 2.3× 16 0.2× 56 1.3× 31 777
Putri Widyanti Harlina Indonesia 15 196 0.6× 114 0.5× 176 1.3× 18 0.2× 12 0.3× 62 506
Esra Balikçi Türkiye 9 162 0.5× 118 0.5× 173 1.3× 65 0.8× 36 0.8× 21 357
Grodji Albarin Gbogouri Ivory Coast 5 388 1.1× 184 0.7× 196 1.5× 192 2.4× 115 2.6× 20 548

Countries citing papers authored by Simon Gregersen Echers

Since Specialization
Citations

This map shows the geographic impact of Simon Gregersen Echers's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Simon Gregersen Echers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Gregersen Echers more than expected).

Fields of papers citing papers by Simon Gregersen Echers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon Gregersen Echers. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Simon Gregersen Echers. The network helps show where Simon Gregersen Echers may publish in the future.

Co-authorship network of co-authors of Simon Gregersen Echers

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Gregersen Echers. A scholar is included among the top collaborators of Simon Gregersen Echers based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Simon Gregersen Echers. Simon Gregersen Echers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Queiroz, Lucas Sales, Simon Gregersen Echers, Timothy John Hobley, et al.. (2025). Extracting Proteins From Brewers' Spent Grain Using Emerging Technologies: Evaluating Efficiency and Use as Emulsifier. VBN Forskningsportal (Aalborg Universitet). 3(2). 1 indexed citations
2.
Jørgensen, Mads Koustrup, Tuve Mattsson, Simon Gregersen Echers, et al.. (2025). Functional properties of protein fractions from gentle membrane separation of green biomass (legume grass) compared to traditional animal- and plant-based proteins. Future Foods. 12. 100740–100740. 2 indexed citations
3.
Mattsson, Tuve, et al.. (2025). Green leaf biorefining – A demonstrator for production of high-quality food-grade protein. Future Foods. 12. 100846–100846. 2 indexed citations
4.
Echers, Simon Gregersen, Lucas Sales Queiroz, Timothy John Hobley, et al.. (2025). Residual barley proteins in brewers' spent grains: Quantitative composition and implications for food ingredient applications. Innovative Food Science & Emerging Technologies. 106. 104277–104277.
5.
Foley, J, et al.. (2025). Combined Rhizopus oryzae Fermentation and Protein Extraction of Brewer’s Spent Grain Improves Protein Functionality. Food and Bioprocess Technology. 18(11). 9574–9593. 2 indexed citations
6.
Pedersen, Karl, et al.. (2025). Identifying Endogenous Proteins of Perennial Ryegrass (Lolium perenne) with Ex Vivo Antioxidant Activity. Proteomes. 13(1). 8–8. 2 indexed citations
7.
Wimmer, Reinhard, et al.. (2025). To Fly, or Not to Fly, That Is the Question: A Deep Learning Model for Peptide Detectability Prediction in Mass Spectrometry. Journal of Proteome Research. 24(6). 2709–2726.
8.
Wimmer, Reinhard, et al.. (2024). Decoding the impact of neighboring amino acids on ESI-MS intensity output through deep learning. Journal of Proteomics. 309. 105322–105322. 4 indexed citations
9.
Yeşiltaş, Betül, et al.. (2024). Screening for Metal-Chelating Activity in Potato Protein Hydrolysates Using Surface Plasmon Resonance and Peptidomics. Antioxidants. 13(3). 346–346. 8 indexed citations
10.
Overgaard, Michael T., et al.. (2024). A homo-FRET assay for patatin-specific proteolytic activity. Food Chemistry. 463(Pt 1). 141105–141105. 1 indexed citations
11.
Yeşiltaş, Betül, Pedro J. García‐Moreno, F. Javier Espejo-Carpio, et al.. (2023). Bioinformatically predicted emulsifying peptides and potato protein hydrolysate improves the oxidative stability of microencapsulated fish oil. SHILAP Revista de lepidopterología. 3. 100441–100441. 7 indexed citations
12.
Yeşiltaş, Betül, Pedro J. García‐Moreno, Simon Gregersen Echers, et al.. (2023). Physical and Oxidative Stability of Emulsions Stabilized with Fractionated Potato Protein Hydrolysates Obtained from Starch Production Side Stream. Antioxidants. 12(8). 1622–1622. 8 indexed citations
13.
Lema, Juan M., et al.. (2023). Assessing labelled carbon assimilation from poly butylene adipate-co-terephthalate (PBAT) monomers during thermophilic anaerobic digestion. Bioresource Technology. 385. 129430–129430. 11 indexed citations
14.
Wimmer, Reinhard, et al.. (2023). Insight on physicochemical properties governing peptide MS1 response in HPLC-ESI-MS/MS: A deep learning approach. Computational and Structural Biotechnology Journal. 21. 3715–3727. 6 indexed citations
15.
García‐Moreno, Pedro J., Simon Gregersen Echers, Tobias Hegelund Olsen, et al.. (2023). Antioxidant peptides from alternative sources reduce lipid oxidation in 5% fish oil-in-water emulsions (pH 4) and fish oil-enriched mayonnaise. Food Chemistry. 426. 136498–136498. 11 indexed citations
16.
Echers, Simon Gregersen, Malene Brohus, Karen G. Welinder, et al.. (2022). Plasma proteomics data from hibernating and active Scandinavian brown bears. Data in Brief. 41. 107959–107959. 1 indexed citations
17.
Yeşiltaş, Betül, Pedro J. García‐Moreno, Simon Gregersen Echers, et al.. (2022). Antioxidant peptides derived from potato, seaweed, microbial and spinach proteins: Oxidative stability of 5% fish oil-in-water emulsions. Food Chemistry. 385. 132699–132699. 57 indexed citations
18.
Krawczyk, Konrad, et al.. (2022). Variability analysis of LC-MS experimental factors and their impact on machine learning. GigaScience. 12. 7 indexed citations
19.
20.
García‐Moreno, Pedro J., Simon Gregersen Echers, Tobias Hegelund Olsen, et al.. (2020). Identification of emulsifier potato peptides by bioinformatics: application to omega-3 delivery emulsions and release from potato industry side streams. Scientific Reports. 10(1). 62 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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